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Feature Selection

462 directly classified papers

Papers per year

Papers

To Share or not to Share: Predicting Sets of Sources for Model Transfer Learning EMNLP 2021
Measuring Dependence with Matrix-based Entropy Functional AAAI 2021
CLULEX at SemEval-2021 Task 1: A Simple System Goes a Long Way ACL 2021
Sparse and Smooth Signal Estimation: Convexification of L0-Formulations JMLR 2021
SPECTRE: defending against backdoor attacks using robust statistics ICML 2021
On Locality of Local Explanation Models NIPS 2021
Sparsity-Agnostic Lasso Bandit ICML 2021
More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method ICML 2021
Post-selection inference with HSIC-Lasso ICML 2021
Algorithmic stability and generalization of an unsupervised feature selection algorithm NIPS 2021
Hierarchical Information Criterion for Variable Abstraction MLHC 2021
Towards a Combinatorial Characterization of Bounded-Memory Learning NIPS 2020
Simple and Scalable Sparse k-means Clustering via Feature Ranking NIPS 2020
Instance-wise Feature Grouping NIPS 2020
A Universal Dependencies Conversion Pipeline for a Penn-format Constituency Treebank COLING 2020
Coresets for Data-efficient Training of Machine Learning Models ICML 2020
Learning Feature Sparse Principal Subspace NIPS 2020
Unsupervised Nonlinear Feature Selection from High-Dimensional Signed Networks AAAI 2020
High-Dimensional Interactions Detection with Sparse Principal Hessian Matrix JMLR 2020
LMLFM: Longitudinal Multi-Level Factorization Machine AAAI 2020
Outlier Detection Ensemble with Embedded Feature Selection AAAI 2020
Fiedler Regularization: Learning Neural Networks with Graph Sparsity ICML 2020
A determinantal point process for column subset selection JMLR 2020
Deep Direct Likelihood Knockoffs NIPS 2020
A Comprehensive Dictionary and Term Variation Analysis for COVID-19 and SARS-CoV-2 EMNLP 2020